Trade Surveillance AI Automation Engineer

Risk Hub

Sydney

On-site

AUD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Performance bonus
Relocation support
Training & development
Daily meals
Gym membership
Company social events
Visa sponsorship where needed

Job summary

Optiver in Sydney seeks a disciplined surveillance professional to translate large, noisy datasets into clear risk insights. You will investigate alerts, build automated detection systems, and contribute to a scalable compliance framework within a collaborative team.

The role emphasizes SQL/Python skills, 3+ years in markets compliance, and a proactive, results-driven mindset. Australian location with on-site work is expected.

Qualifications

  • 3+ years in trade surveillance or related markets, data, or compliance-technology roles.
  • Hands-on SQL or Python to analyze large datasets.
  • Experience automating analysis or building data tooling is a strong plus.
  • Excellent written and verbal English communication.

Responsibilities

  • Investigate surveillance alerts end-to-end and identify risk factors.
  • Analyze large market and trade data to detect unusual patterns.
  • Build and automate detection logic, tooling, and data pipelines.
  • Leverage AI workflows to surface risk and refine systems.
  • Design controls to detect and prevent market abuse and measure their effectiveness.
  • Collaborate across functions to improve the compliance framework.

Skills

Trade surveillance
Data analysis
Python
SQL
Attention to detail

Education

Bachelor's degree or equivalent

Tools

SQL
Python

Job description

Optiver in Sydney seeks a disciplined surveillance professional to translate large, noisy datasets into clear risk insights. You will investigate alerts, build automated detection systems, and contribute to a scalable compliance framework within a collaborative team.

The role emphasizes SQL/Python skills, 3+ years in markets compliance, and a proactive, results-driven mindset. Australian location with on-site work is expected.

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